An open data-driven approach for travel demand synthesis: an application to São Paulo
Autor: | Miloš Balać, Aurore Sallard, Sebastian Hörl |
---|---|
Přispěvatelé: | Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), IRT SystemX (IRT SystemX) |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Economics and Econometrics
Sociology and Political Science Computer science transport scenario Geography Planning and Development transport simulation agent-based models eqasim São Paulo 02 engineering and technology Transport engineering Regional economics. Space in economics [SPI.GCIV.IT]Engineering Sciences [physics]/Civil Engineering/Infrastructures de transport Regional planning Downstream (manufacturing) 0502 economics and business 0202 electrical engineering electronic engineering information engineering 050210 logistics & transportation 05 social sciences HT390-395 Metropolitan area Pipeline (software) [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Open data HT388 020201 artificial intelligence & image processing Raw data [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an] |
Zdroj: | Regional Studies, Regional Sciences Regional Studies, Regional Sciences, Taylor and Francis, 2021, 8 (1), pp.371-386. ⟨10.1080/21681376.2021.1968941⟩ Regional Studies, Regional Science, Vol 8, Iss 1, Pp 371-386 (2021) Regional Studies, Regional Science, 8 (1) |
ISSN: | 2168-1376 |
Popis: | This paper presents a synthetic travel demand for the Greater Sao Paulo Metropolitan Region of Brazil, entirely based on open data and representative of the observed travel demand. The open-source and extendable pipeline creates a path from raw data to the synthetic travel demand and, further, to the downstream agent-based mobility simulation. An advantage of this approach is that it enables the reproduction of the synthetic travel demand and, therefore, provides the foundation of repeatability of downstream studies. Furthermore, as the methodology is based on open data, the study's outcomes are easily accessible to the broad research and practice-oriented community. Regional Studies, Regional Science, 8 (1) ISSN:2168-1376 |
Databáze: | OpenAIRE |
Externí odkaz: |